Module 1: Introduction to Cybersecurity (Month 1)
Overview of Cybersecurity- Cyber Threat Landscape- Cybersecurity Principles- Legal and Ethical Considerations
Practical: Case studies on recent cyber incidents.
Module 2 :Networking and Security Fundamentals (Month 2)
TCP/IP Protocol Suite- Network Design and Security Models- Firewalls, VPNs, and IDS/IPS
Practical: Configure a firewall and set up a VPN.
Module 3: Operating Systems Security (Month 3- Secure OS Configurations
(Windows/Linux)- File System Security- User Account Control and Permissions
Practical: Hardening Windows and Linux servers.
Module 4: Threats and Vulnerabilities (Month 4)- Types of Threats (Malware, Phishing, DDoS)-
Vulnerability Assessment Techniques- Penetration Testing Basics
Practical:
Conduct vulnerability assessments using tools like Nessus.
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Module 5: Security Monitoring and Incident Response (Month 5)-
SIEM Tools and Log Management- Incident Response Plan Development- Digital Forensics Basics
Practical: Use a SIEM tool to analyze logs and respond to incidents.
Module 6: Web and Application Security (Month 6)-
OWASPTop Ten- Secure Software Development Life Cycle (SDLC)- API Security
Practical: Perform security assessments on web applications.
Module 7: Cloud Security (Month 7)- Cloud Security Models (IaaS, PaaS, SaaS)-
Data Protection in the Cloud- Cloud Compliance and Governance
Practical: Set up and secure a cloud environment (AWS/Azure).
Module 8: Encryption and Quantum Computing (Months 8-9)-
Importance of Encryption: Overview and Types (Symmetric, Asymmetric)- Vulnerabilities of Classical Algorithms to Quantum Computing (Shor’s
Algorithm)- Post-Quantum Cryptography: Overview of promising algorithms- Quantum Key Distribution (QKD) Principles and Applications
Practical: Implement a basic encryption algorithm and discuss its quantum
vulnerabilities.
Module 9: Advanced Penetration Testing (Months 10-11)-
Advanced Tools and Techniques- Social Engineering Tactics- Red Team vs. Blue Team Exercises
Practical: Conduct a simulated penetration test on a network.
Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive.
Adam Peterson
Module 10: Cybersecurity Governance and Risk Management (Month
12)-
Security Frameworks (NIST, ISO 27001)- Risk Assessment Methodologies- Policy Development and Compliance
Practical: Create a risk management plan for a hypothetical organization.
Module 11: Emerging Technologies and Threats (Month 13)-
IoT Security Challenges- Blockchain and Cybersecurity- AI and Machine Learning in Security
Practical: Evaluate security implications of emerging technologies.
Module 12: Advanced Threat Detection and Mitigation (Months 14-15)-
Threat Intelligence and Hunting- Anomaly Detection Techniques- Incident Simulation and Tabletop Exercises
Practical: Simulate an advanced persistent threat scenario.
Module 13: Capstone Project (Months 16-18)-
Select a real-world cybersecurity problem.- Develop a comprehensive solution incorporating all learned skills.- Presentation of findings and solutions to a panel.
Practical: Weekly project updates and hands-on implementation of the
solution.
Prepared By:Mohd Irfan M-Exouzia
EXOUZIA-CYBERSECURITY MODULES KEYS-CONFIDENTIAL
Additional Modules (No Specific Month/Duration)
● Network Security: Custom Proxy VPN Creation and Network
Programming
○ Learn network-level programming to create custom proxy VPNs
and secure network traffic.
● Operating Systems: OS Variants and Server Technologies with
Database Integration
○ Study various OS variants (Windows, Linux, etc.) and their
integration with database security technologies.
● Threat Management: Third-party Protection and Advanced Threat
Creation
○ Explore third-party protection tools and develop advanced types
of cyber threats.
● Advanced Monitoring: Log Formatting and AI Implementation
○ Implement advanced log formatting techniques and apply AI to
enhance security monitoring.
● Software and API Security: Strengthening or Ignoring Security
Practices
○ Focus on advanced techniques for strengthening software and
API security, or assess when certain security measures can be
deprioritized.
● Cloud Security: Loopholes and Socket Programming Issues
○ Identify current security loopholes in cloud environments and
examine problems related to socket programming.
● QuantumComputing: Research on Impact and Solutions
○ Conduct research on how quantum computing impacts classical
encryption algorithms and propose solutions.
● Advanced Penetration Testing Tools: Custom Relay Server and
DNSCreation
○ Develop custom relay servers and DNS solutions for advanced
penetration testing scenarios
-
Designcustomsecuritylayersandexplorereverseattack
strategiesthroughrequest lineanalysisandsessionlearning. -
CurrentChallengesinCybersecurity
-
Examinethemostpressingcurrentchallengesincybersecurity
throughcasestudiesandresearch. -
ThreatDetectionandEmergencyAid
-
Exploretechniquesfordetectingmajorthreatsandproviding
emergencyaidtomitigatedamage. -
ProjectTypes:MajorandMinor
-
Capstoneprojectsmayincludemajorandminoroptions,with
majorprojectsextendingbeyondthecoursetimelinefordeeper
exploration
production
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